Performance and quality assessment of similarity measures in collaborative filtering using mahout

Procedia Computer Science

Volumn 50, Issue , 2015, Pages 229-234

  Bagchi, Saikat ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Analysis of similarity measures; Performance and quality of similarity measures; Performance of mahout based recommendation; Performance of user based recommendation; Similarity measures in collaborative filtering

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIG DATA; LEARNING SYSTEMS; QUALITY CONTROL; RECOMMENDER SYSTEMS;

COLLABORATIVE FILTERING METHODS; MATHEMATICAL APPROACH; PERFORMANCE OF MAHOUT-BASED RECOMMENDATION; PERFORMANCE OF USER-BASED RECOMMENDATION; QUALITY ASSESSMENT; SIMILARITY MEASURE; SIMILARITY MEASURING; SIMILARITY METRICS;

COLLABORATIVE FILTERING;

EID: 84937391610     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2015.04.055     Document Type: Conference Paper

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